Complex system modeling using TSK fuzzy cellular automata and differential evolution

Jessica Chivata, Yeferson Luengas, Miguel Melgarejo, Nelson Obregon

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

This paper presents a proposal to model the dynamics of complex systems that can be represented as homogeneous continuous cellular automata. The method includes a homogeneous fuzzy cellular automaton whose representative cell is a Takagi-Sugeno-Kang fuzzy system. This cell is tuned by means of the differential evolution algorithm, which tries to optimize a similarity measure between the dynamics of the target complex system and the automaton. The experiments show that our approach is able to obtain a valid model for a complex system that exhibits a two-dimensional nonlinear wave scheme.

Idioma originalInglés
Título de la publicación alojadaFUZZ-IEEE 2013 - 2013 IEEE International Conference on Fuzzy Systems
DOI
EstadoPublicada - 2013
Evento2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013 - Hyderabad, India
Duración: 07 jul. 201310 jul. 2013

Serie de la publicación

NombreIEEE International Conference on Fuzzy Systems
ISSN (versión impresa)1098-7584

Conferencia

Conferencia2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013
País/TerritorioIndia
CiudadHyderabad
Período07/07/1310/07/13

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